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committedApr 21, 2023
removed other mention of Tensorflow
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‎assignments/2023/assignment2.md

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@@ -41,7 +41,7 @@ In this assignment you will practice writing backpropagation code, and training
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- Implement **Batch Normalization** and **Layer Normalization** for training deep networks.
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- Implement **Dropout** to regularize networks.
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- Understand the architecture of **Convolutional Neural Networks** and get practice with training them.
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- Gain experience with a major deep learning framework, such as **TensorFlow** or **PyTorch**.
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- Gain experience with a major deep learning framework, **PyTorch**.
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- Explore various applications of image gradients, including saliency maps, fooling images, class visualizations.
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### Q1: Multi-Layer Fully Connected Neural Networks

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